Li J

Ningxia University, State Key Laboratory of Vehicle NVH and Safety Technology

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About

Li J is a pioneering researcher at the intersection of energy harvesting and artificial intelligence, with a focus on triboelectric nanogenerators (TENGs) and 3D point cloud deep learning. Their most notable work, the "Fountain-inspired triboelectric nanogenerator as rotary energy harvester and self-powered intelligent sensor" (2025, 12 citations), introduces a novel biomimetic design that efficiently converts rotational mechanical energy into electricity while simultaneously functioning as a self-powered sensor. This breakthrough demonstrates significant potential for sustainable energy solutions and intelligent monitoring systems. In parallel, Li J has advanced 3D point cloud processing with their "Dynamic Multi-Branch Neural Network Module for 3D Point Cloud Classification and Segmentation Using Structural Re-parametertization" (2023, 3 citations), which enhances deep learning models for critical applications in autonomous driving and robotics. By developing a dynamic multi-branch architecture with structural re-parameterization, Li J addresses key challenges in geometric data analysis, improving both accuracy and efficiency. Their dual expertise in energy harvesting and 3D perception positions them as a versatile innovator, with their TENG work already gaining traction in the field. Li J’s research continues to bridge the gap between sustainable energy technologies and intelligent systems, offering practical solutions for real-world challenges.